Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services

The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence.This book:Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainabilityHighlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakersDiscusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocationLays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraintsCovers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problemsIncludes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategiesThis volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.

Kamal Upreti is currently working as an Associate Professor in Department of Computer Science, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India. He completed his B. Tech (Hons) Degree from UPTU, M. Tech (Gold Medalist), PGDM(Executive) from IMT Ghaziabad and PhD in Department of Computer Science & Engineering. He has completed Postdoc from National Taipei University of Business, TAIWAN funded by MHRD. He has published 50+ Patents, 45+ Books, 32+Magazine issues and 110+ Research papers in various reputed Journals and international Conferences. His areas of Interest such as Modern Physics, Data Analytics, Cyber Security, Machine Learning, Health Care, Embedded System and Cloud Computing. He has enriched years’ experience in corporate and teaching experience in Engineering Colleges. He worked with HCL, NECHCL, Hindustan Times, Dehradun Institute of Technology and Delhi Institute of Advanced Studies, with more than 15+ years of enriching experience in research, Academics and Corporate. He also worked in NECHCL in Japan having project – “Hydrastore “ funded by joint collaboration between HCL and NECHCL Company. Dr. Upreti worked on Government project – “Integrated Power Development Scheme (IPDS)” was launched by Ministry of Power, Government of India with the objectives of Strengthening of sub-transmission and distribution network in the urban areas. Recently, he has completed work with Joint collaboration with GB PANT & AIIMS Delhi, under funded project of ICMR Scheme on Cardiovascular diseases prediction strokes using Machine Learning Techniques from year 2017-2020 of having fund of 80 Lakhs. He got 3 Lakhs fund from DST SERB for conducting International Conference , ICSCPS-2024 , 13-14 Sept 2024. Recently, he got 10 Lakhs fund from AICTE - Inter-Institutional Biomedical Innovations and Entrepreneurship Program (AICTE-IBIP) for 2024-2026. He has been a Chair Person in several sessions at National and International conferences and also a key note speaker for various platforms such as Skill based training, Corporate Trainer, Guest faculty and faculty development Programme. He awarded as best teacher, best researcher, extra academic performer and Gold Medalist in M. Tech programme.Nishant Kumar is an Associate Professor in the School of Business and Management, CHRIST (Deemed to be University), Bangalore (India). During the initial phase of his career, he worked with Amity University, Doon University, Delhi Institute of Advanced Studies, HCL Infosystems ltd., with more than 12 years of rich experience in academics, research, and corporate. He also worked on an international research project, “Vulnerability and possible business adoption measures in the Himalayan region,” funded by the Swiss Agency for Development and Cooperation (SDC). Dr. Kumar has published over 20 research papers in journals with ABS, SCOPUS, Web of Science, and ABDC classifications. He has also published book, patents, book chapters, and also a member in the Editorial